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Proceedings Paper

IR system field performance with superresolution
Author(s): Jonathan Fanning; Justin Miller; Jennifer Park; Gene Tener; Joseph Reynolds; Patrick O'Shea; Carl Halford; Ron Driggers
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Paper Abstract

Superresolution processing is currently being used to improve the performance of infrared imagers through an increase in sampling, the removal of aliasing, and the reduction of fixed-pattern noise. The performance improvement of superresolution has not been previously tested on military targets. This paper presents the results of human perception experiments to determine field performance on the NVESD standard military eight (8)-target set using a prototype LWIR camera. These experiments test and compare human performance of both still images and movie clips, each generated with and without superresolution processing. Lockheed Martin's XR® algorithm is tested as a specific example of a modern combined superresolution and image processing algorithm. Basic superresolution with no additional processing is tested to help determine the benefit of separate processes. The superresolution processing is modeled in NVThermIP for comparison to the perception test. The measured range to 70% probability of identification using XR® is increased by approximately 34% while the 50% range is increased by approximately 19% for this camera. A comparison case is modeled using a more undersampled commercial MWIR sensor that predicts a 45% increase in range performance from superresolution.

Paper Details

Date Published: 30 April 2007
PDF: 12 pages
Proc. SPIE 6543, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XVIII, 65430Z (30 April 2007); doi: 10.1117/12.720912
Show Author Affiliations
Jonathan Fanning, U.S. Army Night Vision & Electronic Sensors Directorate (United States)
Justin Miller, U.S. Army Night Vision & Electronic Sensors Directorate (United States)
Jennifer Park, Lockheed Martin Missiles and Fire Control (United States)
Gene Tener, Lockheed Martin Missiles and Fire Control (United States)
Joseph Reynolds, U.S. Army Night Vision & Electronic Sensors Directorate (United States)
Patrick O'Shea, U.S. Army Redstone Technical Test Center (United States)
Carl Halford, University of Memphis (United States)
Ron Driggers, U.S. Army Night Vision & Electronic Sensors Directorate (United States)


Published in SPIE Proceedings Vol. 6543:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XVIII
Gerald C. Holst, Editor(s)

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